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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Weekend Shift)

Nexus Analytics Solutions
Las Vegas
Estimated Salary
USD 65.000 – USD 85.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Join our dynamic data team at Nexus Analytics Solutions, where weekend shifts offer premium pay and flexible work-life balance! As a Senior Data Analyst in our Las Vegas hub, you'll transform raw data into actionable insights that drive our client's success. Enjoy state-of-the-art tools, remote collaboration options, and career advancement opportunities in a fast-growing tech environment.

We offer competitive benefits including 401(k) matching, comprehensive health insurance, and quarterly performance bonuses. Our weekend shift runs Saturday-Sunday (6 AM-6 PM), allowing you to maximize your weekdays while earning 20% above standard rates.

Responsibilities

  • Analyze complex datasets using SQL, Python, and advanced Excel techniques to identify trends and opportunities
  • Create compelling data visualizations using Tableau and Power BI for executive presentations
  • Develop automated reporting dashboards to track KPIs and business metrics
  • Collaborate with cross-functional teams to translate business needs into data solutions
  • Validate data integrity and implement quality control processes
  • Present findings to stakeholders through clear, actionable recommendations
  • Maintain documentation for data models and analysis methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift background preferred
  • Expert proficiency in SQL, Python (Pandas/Numpy), and advanced Excel functions
  • Strong portfolio demonstrating data visualization projects with Tableau/Power BI
  • Experience with statistical analysis and A/B testing methodologies
  • Excellent communication skills with ability to simplify complex concepts
  • Proven ability to work independently and manage multiple deadlines
  • Experience with cloud platforms (AWS/Azure) and ETL processes

Required Skills

SQL Python Tableau Power BI Excel Statistical Analysis Data Visualization ETL AWS Data Modeling

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